T$k$QS: A Top-$k$ Keyword Query Suggestion System

Providing semantically related keyword queries is useful for users who are unfamiliar with the searching domain or have imprecise ideas about their query intentions. This paper describes a keyword query semantic relationship measuring approach and presents a corresponding demo system TkQS for top- $k$ keyword query suggestion. The demo system consists of two components, coupling relationship measuring component and top@ $k$ query suggestion component. The first component computes the keyword coupling relationships and query semantic relationships while the second component provides top- $k$ semantic relevant queries for the given query. Demo system and experimental results identified the efficiency of our approach.